Interactive computing advice facility

Abstract

In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of the following provisional application, which is hereby incorporated by reference in its entirety: U.S. Provisional App. No. U.S. 61 / 097,394 filed Sep. 16, 2008.[0002]This application is a continuation-in-part of the following U.S. patent applications, each of which is incorporated by reference in its entirety: U.S. App No. 12 / 262,862 filed Oct. 31, 2008 which claims the benefit of following applications, U.S. Provisional Appl. No. 60 / 984,948 filed Nov. 2, 2007 and U.S. Provisional Appl. No. 61 / 060,226 filed Jun. 10, 2008.BACKGROUND[0003]1. Field[0004]The present invention is related to collective knowledge systems, and more specifically to providing natural language computer-based topical advice based on machine learning through user interaction.[0005]2. Description of the Related Art[0006]Online searching for topical advice represents a significant use of computer resources such as provided through ...

AI Technical Summary

Benefits of technology

[0017]In embodiments, the present invention may help a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user, where the initial question may be associated with one of a broad category of topics, such as product, personal, health, business, political, educational, entertainment, environment, and the like. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.

[0018]In embodiments, the present invention may help a user make a decision through the use of a computing facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on an aggregated feedback from a plurality of users. In embodiments, the computer facility may improve future questions and decisions provided by the computing facility based on receiving feedback from the user.

[0019]In embodiments, the present invention may help a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning faci

Problems solved by technology

Computer users may currently employ a variety of search tools to search for advice on specific topics, but to do so may require expertise in the use of search engines, and may produce volum

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